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Using nuclear microsatellite data to trace the gene flow and population structure in Czech horses

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F19%3A43915187" target="_blank" >RIV/62156489:43210/19:43915187 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26220/19:PU131209

  • Result on the web

    <a href="https://doi.org/10.17221/2/2018-CJAS" target="_blank" >https://doi.org/10.17221/2/2018-CJAS</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/2/2018-CJAS" target="_blank" >10.17221/2/2018-CJAS</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using nuclear microsatellite data to trace the gene flow and population structure in Czech horses

  • Original language description

    Based on a data set comprising 2879 animals and 17 nuclear microsatellite DNA markers, we propose the most comprehensive in-depth study mapping the genetic structure and specifying the assignment success rates in horse breeds at the Czech population scale. The STRUCTURE program was used to perform systematic Bayesian clustering via the Markov chain Monte Carlo estimation, enabling us to explain the population stratification and to identify genetic structure patterns within breeds worldwide. In total, 182 different alleles were found over all the populations and markers, with the mean number of 10.7 alleles per locus. The expected heterozygosity ranged from 0.459 (Friesian) to 0.775 (Welsh Part Bred), and the average level reached 0.721. The average observed heterozygosity corresponded to 0.709, with the highest value detected in the Czech Sport Pony (0.775). The largest number of private alleles was found in Equus przewalskii. The population inbreeding coefficient FIS ranged from -0.08 in the Merens to 0.14 in the Belgian Warmblood. The total within-population inbreeding coefficient was estimated to be moderate. As expected, very large genetic differentiation and small gene flow were established between the Friesian and Equus przewalskii (FST = 0.37, Nm = 0.43). Zero FST values indicated no differences between the Czech Warmblood-Slovak Warmblood and the Czech Warmblood-Bavarian Warmblood. A high level of breeding and connectivity was revealed between the Slovak Warmblood-Bavarian Warmblood, Dutch Warmblood-Oldenburg Horse, Bavarian Warmblood-Dutch Warmblood, and Bavarian Warmblood-Oldenburg Horse. The breeds&apos; contribution equalled about 6% of the total genetic variability. The overall proportion of individuals correctly assigned to a population corresponded to 82.4%. The posterior Bayesian approach revealed a hierarchical dynamic genetic structure in four clusters (hot-blooded, warm-blooded, cold-blooded, and pony). While most of the populations were genetically distinct from each other and well-arranged with solid breed structures, some of the entire sets showed signs of admixture and/or fragmentation.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10603 - Genetics and heredity (medical genetics to be 3)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Czech Journal of Animal Science

  • ISSN

    1212-1819

  • e-ISSN

  • Volume of the periodical

    64

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    11

  • Pages from-to

    67-77

  • UT code for WoS article

    000458628500003

  • EID of the result in the Scopus database

    2-s2.0-85062672837